Applications Transformation for the Digital Age

N/A | May 8, 2019 | 35 views

In the digital age, application services organizations are under immense pressure to respond rapidly to market changes to help transform business models and deliver business value, while remaining cost competitive. The need to address market pressures has made application services central to any forward-looking enterprise’s strategy.

Spotlight

Razorblue Group

At razorblue we believe that success is dependent upon putting client needs first. We work closely with our customers, taking the time to find the right technology solution to complicated business problems. Since our launch in 2006 we’ve grown year-on-year and flourished in one of the business world’s most competitive and volatile sectors. Our proactive, technology driven approach assures that we stay ahead of the pace of change in the workplace.

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SOFTWARE

AI's Impact on Improving Customer Experience

Article | August 2, 2022

To enhance the consumer experience, businesses all over the world are experimenting with artificial intelligenace (AI), machine learning, and advanced analytics. Artificial intelligence (AI) is becoming increasingly popular among marketers and salespeople, and it has become a vital tool for businesses that want to offer their customers a hyper-personalized, outstanding experience. Customer relationship management (CRM) and customer data platform (CDP) software that has been upgraded with AI has made AI accessible to businesses without the exorbitant expenses previously associated with the technology. When AI and machine learning are used in conjunction for collecting and analyzing social, historical, and behavioral data, brands may develop a much more thorough understanding of their customers. In addition, AI can predict client behavior because it continuously learns from the data it analyzes, in contrast to traditional data analytics tools. As a result, businesses may deliver highly pertinent content, boost sales, and enhance the customer experience. Predictive Behavior Analysis and Real-time Decision Making Real-time decisioning is the capacity to act quickly and based on the most up-to-date information available, such as information from a customer's most recent encounter with a company. For instance, Precognitive's Decision-AI uses a combination of AI and machine learning to assess any event in real-time with a response time of less than 200 milliseconds. Precognitive's fraud prevention product includes Decision-AI, which can be implemented using an API on a website. Marketing to customers can be done more successfully by using real-time decisioning. For example, brands may display highly tailored, pertinent content and offer to clients by utilizing AI and real-time decisioning to discover and comprehend a customer's purpose from the data they produce in real-time. By providing deeper insights into what has already happened and what can be done to facilitate a sale through suggestions for related products and accessories, AI and predictive analytics are able to go further than historical data alone. This increases the relevance of the customer experience, increases the likelihood that a sale will be made, and increases the emotional connection that the customer has with a brand.

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SOFTWARE

The Evolution of Quantum Computing and What its Future Beholds

Article | July 13, 2022

The mechanism of quantum computers will be entirely different from anything we humans have ever created or constructed in the past. Quantum computers, like classical computers, are designed to address problems in the real world. They process data in a unique way, though, which makes them a much more effective machine than any computer in use today. Superposition and entanglement, two fundamental ideas in quantum mechanics, could be used to explain what makes quantum computers unique. The goal of quantum computing research is to find a technique to accelerate the execution of lengthy chains of computer instructions. This method of execution would take advantage of a quantum physics event that is frequently observed but does not appear to make much sense when written out. When this fundamental objective of quantum computing is accomplished, and all theorists are confident works in practice, computing will undoubtedly undergo a revolution. Quantum computing promises that it will enable us to address specific issues that current classical computers cannot resolve in a timely manner. While not a cure-all for all computer issues, quantum computing is adequate for most "needle in a haystack" search and optimization issues. Quantum Computing and Its Deployment Only the big hyperscalers and a few hardware vendors offer quantum computer emulators and limited-sized quantum computers as a cloud service. Quantum computers are used for compute-intensive, non-latency-sensitive issues. Quantum computer architectures can't handle massive data sizes yet. In many circumstances, a hybrid quantum-classical computer is used. Quantum computers don't use much electricity to compute but need cryogenic refrigerators to sustain superconducting temperatures. Networking and Quantum Software Stacks Many quantum computing software stacks virtualize the hardware and build a virtual layer of logical qubits. Software stacks provide compilers that transform high-level programming structures into low-level assembly commands that operate on logical qubits. In addition, software stack suppliers are designing domain-specific application-level templates for quantum computing. The software layer hides complexity without affecting quantum computing hardware performance or mobility.

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AI TECH

Language Models: Emerging Types and Why They Matter

Article | July 20, 2022

Language model systems, often known as text understanding and generation systems, are the newest trend in business. However, not every language model is made equal. A few are starting to take center stage, including massive general-purpose models like OpenAI's GPT-3 and models tailored for specific jobs. There is a third type of model at the edge that is intended to run on Internet of Things devices and workstations but is typically very compressed in size and has few functionalities. Large Language Models Large language models, which can reach tens of petabytes in size, are trained on vast volumes of text data. As a result, they rank among the models with the highest number of parameters, where a "parameter" is a value the model can alter on its own as it gains knowledge. The model's parameters, which are made of components learned from prior training data, fundamentally describe the model's aptitude for solving a particular task, like producing text. Fine-tuned Language Models Compared to their massive language model siblings, fine-tuned models are typically smaller. Examples include OpenAI's Codex, a version of GPT-3 that is specifically tailored for programming jobs. Codex is both smaller than OpenAI and more effective at creating and completing strings of computer code, although it still has billions of parameters. The performance of a model, like its capacity to generate protein sequences or respond to queries, can be improved through fine-tuning. Edge Language Models Edge models, which are intentionally small in size, occasionally take the shape of finely tuned models. To work within certain hardware limits, they are occasionally trained from scratch on modest data sets. In any event, edge models provide several advantages that massive language models simply cannot match, notwithstanding their limitations in some areas. The main factor is cost. There are no cloud usage fees with an edge approach that operates locally and offline. As significant, fine-tuned, and edge language models grow in response to new research, they are likely to encounter hurdles on their way to wider use. For example, compared to training a model from the start, fine-tuning requires less data, but fine-tuning still requires a dataset.

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SOFTWARE

Low-code and No-code: A Business' New Best Friend

Article | July 5, 2022

Businesses are starting to integrate artificial intelligence (AI) into their workflow in greater numbers as a result of the growth of digital transformation and developments in machine learning (ML). As a result, platforms that need no coding, as well as their low-code counterparts, are becoming more popular. This development is a step toward computer science's long-term objective of automating manual coding. Low-code/no-code AI platforms will be beneficial to businesses in more data-driven industries like marketing, sales, and finance. AI can assist in a variety of ways, including automating invoicing, evaluating reports, making intelligent suggestions, and anticipating churn rates. How Does an Organization Look at Low-code/No-code as the Future? Developers and other tech-related positions are in high demand, particularly in the fields of AI and data science. Organizations have the chance to close the gap with the aid of citizen data scientists who don't require an AI professional to design unique AI solutions for many scenarios, thanks to low-code and no-code AI technologies. The demand for technological solutions and AI technologies is rising significantly as the technological landscape rapidly changes. AI systems, for example, require complex software that uses a lot of code, a variety of frameworks, and the Internet of Things (IoT). One person's capacity to comprehend every technical detail is strained by the array of complicated technology. Software delivery must be timely, effective, and secure while maintaining high standards. Conclusion Low-code AI solutions offer the speed, ease of use, and adaptability of ready-made software solutions while also drastically reducing the time to market for AI solutions and the cost of recruiting software and computer vision engineers. Organizations are free to construct the architecture, functionality, or pipeline that best suits their project, the sky being the limit. However, creating such unique models may be both costly and time-consuming. Therefore, employing low-code/no-code platforms would apply to particular pipeline actions that would streamline and accelerate the processes.

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Spotlight

Razorblue Group

At razorblue we believe that success is dependent upon putting client needs first. We work closely with our customers, taking the time to find the right technology solution to complicated business problems. Since our launch in 2006 we’ve grown year-on-year and flourished in one of the business world’s most competitive and volatile sectors. Our proactive, technology driven approach assures that we stay ahead of the pace of change in the workplace.

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SOFTWARE,FUTURE TECH,COMPUTER VISION

Datawiza Integration with Microsoft 365 Brings MFA to Oracle Business Applications

Datawiza | September 19, 2022

Datawiza, the industry's leading cloud-native access proxy for securing applications, today announced a new integration with Microsoft 365 that allows businesses to deploy multifactor authentication (MFA) for mission-critical Oracle business applications. By creating a no-code, secure bridge between Oracle applications and Microsoft 365, the Datawiza cloud-native proxy enables Microsoft 365 customers to quickly extend the power of Microsoft's modern Identity and Access (IAM) solution, Azure Active Directory , to Peoplesoft, Oracle E-Business Suite, JD Edwards (JDE) and Siebel – in minutes. Datawiza: Modern Access Management for Hard-to-Secure Applications “Thousands of enterprises today run on business applications that don’t always support modern security protocols,” said Dr. Canming Jiang, Co-Founder & CEO of Datawiza. “Corporate boards are demanding immediate action to eliminate vulnerabilities, but replacing mission-critical applications like Peoplesoft, E-Business Suite, JDE and Siebel would take far too long and cost too much. Our cloud-native proxy helps organizations extend their investment in these solutions by enabling modern capabilities like MFA and single sign-on in less than five minutes, helping them quickly respond to new security requirements, such as the need to meet cyber insurance requirements or establish Zero Trust Application Access.” “Microsoft is passionate about helping businesses protect their identities, applications, and data. “Datawiza is a partner in our Secure Hybrid Access program. Their fast, secure solution helps our customers take advantage of the multifactor authentication capabilities built into Azure AD (now part of Microsoft Entra) to protect their portfolio of critical Oracle business solutions. This way, they can get even more value from their investment in Microsoft 365 and Microsoft Entra, our family of modern identity and access solutions.” Sue Bohn, Vice President of the Identity and Network Access Customer and Partner Experience Team at Microsoft Multifactor authentication adds an additional layer to application access, requiring users to prove their identity with more than just a username and password. When a user signs into an application, the system requires a second authentication, such as scanning a fingerprint or entering a code received by a smartphone. MFA is built into Microsoft 365, which includes Azure AD, but it relies on modern security protocols, such as SAML or OIDC, which Oracle and other legacy applications don’t support. The lightweight, cloud-delivered Datawiza platform relies on super-lightweight, cloud-native and container-based proxies located near the applications they protect. The Datawiza cloud-native proxy is deployed at the front end of the applications to create a bridge between the applications and Microsoft 365. In just a few minutes, Datawiza can be deployed and configured and begin requiring MFA, as well as single sign-on (SSO) and conditional access, to log into any application – from Oracle applications to homegrown applications to open source tools. The benefits of Datawiza include: Added security to extend the life of mission-critical investments – Datawiza works in all cloud, IAM and network infrastructures No-code, so quick to deploy – no security expertise required, no new vulnerabilities are inadvertently introduced Fine-grained access controls across homegrown, open source and legacy applications, for all environments: on-prem, cloud, multi-cloud, and hybrid Easily integrated with cutting-edge cloud-native technologies, such as containerization and Kubernetes Protection for individual applications even if the network is breached About Datawiza Datawiza, the industry's leading cloud-native access proxy for securing applications and APIs, provides consolidated and continuous risk and trust assessment. Unlike other access management products (e.g., legacy web access managers) that are complex and siloed in hybrid environments, Datawiza offers large enterprises and SMBs a comprehensive, centralized and easy-to-deploy solution that allows every company to simplify access management, save time and increase security. Datawiza was founded in 2018 by security expert Dr. Canming Jiang, a veteran of Shape Security, now part of F5, and cloud expert Cunhao (Alex) Gao, a veteran of Google and Amazon.

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SOFTWARE,FUTURE TECH

Spice AI Raises $13.5 Million Seed Funding to Enable Web3 Developers to Build Data and AI-driven Applications

Spice AI | September 08, 2022

Spice AI today announced a seed round of $13.5 million for its platform that enables developers to build data driven applications for Web3. Madrona led the round with Australia based Blackbird Ventures, Basis Set Ventures, Alumni Ventures Blockchain Fund, Joe McCann’s new Asymmetric fund, Protocol Labs, IEX Fund, and other strategic angel investors participating, including Thomas Dohmke, CEO of GitHub, who is also joining the board. “Spice AI is building a developer first platform to create AI/ML-driven applications that harness time series data – a valuable yet difficult to harness data set for any organization. There is no ecosystem out there that is more data rich than Web3 and blockchains, but that area is currently hampered by lack of data access and infrastructure. Solving the data problem in Web3 requires deep domain knowledge and Spice AI is building the infrastructure, so developers do not have to deal with the complexity of building it themselves. Now is the time to build for Web3 and we are excited to be well capitalized to grow the team and address this gap in the market,” said Luke Kim, CEO of Spice AI. Web3 and Spice AI While most blockchains are public and open, extracting data from them to power apps and ML is painfully difficult. To get meaningful quantities of useful data, developers are forced to build and operate a massively complex infrastructure which includes blockchain nodes, big data systems, ETL and ML pipelines, data lakes, data warehouses, and query systems. Going one step further, developers must deeply understand the various data sources including virtual-machine logs, and the inner workings and state of smart contracts, across a broad array of blockchains, scaling layers, and dApps. Spice.xyz, brings this together in a platform that enables developers to access web3 data across chains via SQL over high-performance Apache Arrow APIs. The platform is available in Preview today with Bitcoin, Ethereum, and Ethereum Name Service (ENS) datasets with work in progress to launch Solana and Polygon. “Madrona has invested in machine learning infrastructure and intelligent applications for almost a decade. We see a massive opportunity for Spice AI to provide a developer-first framework and intelligent data sets that unlock insights in blockchain data and enable developers to create intelligent distributed Web3 applications. As part of the financing, Porter will join the Spice AI board along with Thomas Dohmke. Tim Porter, Managing Director at Madrona Deeply Developer Focused Founders Over the last 15 years, co-founder Luke Kim has brought together the best builders and engineers across the globe to create developer focused experiences through tools and technologies used by millions worldwide. Before founding Spice AI, Luke was the founding manager and co-creator of Azure Incubations at Microsoft where he led cross-functional engineering teams to create and develop technologies like Dapr. Co-founder Phillip LeBlanc has spent a decade building some of the largest distributed systems and big data platforms used by millions worldwide. Before co-founding Spice AI, Phillip was both an engineering manager and IC working on distributed systems at GitHub and Microsoft. Phillip has contributed to services developers use every day including GitHub Actions, Azure Active Directory and Visual Studio App Center. “Spice AI is building the foundational platform for Web3, so developers do not have to invest in standing up their own infrastructure and in data engineering that is complex and costly, and frankly, hard to get right. Delivering real time insights from time-series data across chains powers intelligent applications being built for a wide range of industries – from addressing buying patterns in e-tail/retail all the way to fraud detection and securities trading. Since our pre-seed investment, the team continues to impress us with the focus and pace of innovation as they build this infrastructure for Web3,” added Aseem Datar, Partner at Madrona. Spice AI is building an office in greater Seattle with a footprint in Asia and Australia. Check out the positions here - spice.ai/careers About Spice AI Founded in June 2021 by Luke Kim and Phillip LeBlanc, Spice AI creates technology to help developers build intelligent apps that learn and adapt. The company has raised 14.5 million in funding since 2021 and is backed by leading venture and angel investors.

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AI TECH,GENERAL AI,AI APPLICATIONS

Seeed Studio Joins NVIDIA Metropolis Help Accelerate Edge AI Across Industries

Seeed Studio | August 25, 2022

Seeed Studio, a provider of AIoT Hardware Service Platform, today announced it has joined NVIDIA Metropolis, a partner program focused on bringing to market a new generation of vision AI applications. NVIDIA Metropolis nurtures a rich ecosystem and offers powerful developer tools to supercharge vision AI applications that are designed to make the world's most important spaces and operations safer and more efficient. Seeed is a reseller of NVIDIA embedded systems and a member of the NVIDIA Jetson ecosystem for edge AI. The company offers NVIDIA Jetson module powered full system and carrier boards, integrating software into AI solutions spanning many industries. Offering a one-stop product experience, Seeed speeds time to market for customers by handling all licensing, integration, manufacturing, fulfillment, and distribution. Seeed offers the following products and service benefits to AI enterprises that are wishing to take the NVIDIA Jetson edge AI platform from pilot to production. If interested, please sign up using this form. 1 pc reComputer J1010 powered by Jetson Nano module; 1 pc J202 carrier board for Jetson Nano/Xavier NX; Free custom image-flashing services for 1 pcs reComputer. NVIDIA Metropolis makes it easier and more cost effective for enterprises, governments, and integration partners to use world-class AI-enabled solutions to improve critical operational efficiency and safety problems. The NVIDIA Metropolis ecosystem contains a large and growing breadth of members who are investing in the most advanced AI techniques and most efficient deployment platforms, and using an enterprise-class approach to their solutions. Members can gain early access to NVIDIA platform updates to further enhance and accelerate their AI application development efforts. Further, the program offers the opportunity for members to collaborate with industry-leading experts and other AI-driven organizations. "It's a great honor to join NVIDIA Metropolis. "We look forward very much to seeing more AIoT solutions scaling up to bring digital transformation to different business sectors." Eric Pan, Founder and CEO at Seeed About Seeed Studio Seeed Studio has been serving the global developer community since 2008, by providing open technology and agile manufacturing services, with the mission to make hardware more accessible and lower the threshold for hardware innovation. With Shenzhen's vast resources, and trusted technology and distribution partners around the world, Seeed strives to be the most integrated platform for creating hardware solutions for IoT and edge AI applications.

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SOFTWARE,FUTURE TECH,COMPUTER VISION

Datawiza Integration with Microsoft 365 Brings MFA to Oracle Business Applications

Datawiza | September 19, 2022

Datawiza, the industry's leading cloud-native access proxy for securing applications, today announced a new integration with Microsoft 365 that allows businesses to deploy multifactor authentication (MFA) for mission-critical Oracle business applications. By creating a no-code, secure bridge between Oracle applications and Microsoft 365, the Datawiza cloud-native proxy enables Microsoft 365 customers to quickly extend the power of Microsoft's modern Identity and Access (IAM) solution, Azure Active Directory , to Peoplesoft, Oracle E-Business Suite, JD Edwards (JDE) and Siebel – in minutes. Datawiza: Modern Access Management for Hard-to-Secure Applications “Thousands of enterprises today run on business applications that don’t always support modern security protocols,” said Dr. Canming Jiang, Co-Founder & CEO of Datawiza. “Corporate boards are demanding immediate action to eliminate vulnerabilities, but replacing mission-critical applications like Peoplesoft, E-Business Suite, JDE and Siebel would take far too long and cost too much. Our cloud-native proxy helps organizations extend their investment in these solutions by enabling modern capabilities like MFA and single sign-on in less than five minutes, helping them quickly respond to new security requirements, such as the need to meet cyber insurance requirements or establish Zero Trust Application Access.” “Microsoft is passionate about helping businesses protect their identities, applications, and data. “Datawiza is a partner in our Secure Hybrid Access program. Their fast, secure solution helps our customers take advantage of the multifactor authentication capabilities built into Azure AD (now part of Microsoft Entra) to protect their portfolio of critical Oracle business solutions. This way, they can get even more value from their investment in Microsoft 365 and Microsoft Entra, our family of modern identity and access solutions.” Sue Bohn, Vice President of the Identity and Network Access Customer and Partner Experience Team at Microsoft Multifactor authentication adds an additional layer to application access, requiring users to prove their identity with more than just a username and password. When a user signs into an application, the system requires a second authentication, such as scanning a fingerprint or entering a code received by a smartphone. MFA is built into Microsoft 365, which includes Azure AD, but it relies on modern security protocols, such as SAML or OIDC, which Oracle and other legacy applications don’t support. The lightweight, cloud-delivered Datawiza platform relies on super-lightweight, cloud-native and container-based proxies located near the applications they protect. The Datawiza cloud-native proxy is deployed at the front end of the applications to create a bridge between the applications and Microsoft 365. In just a few minutes, Datawiza can be deployed and configured and begin requiring MFA, as well as single sign-on (SSO) and conditional access, to log into any application – from Oracle applications to homegrown applications to open source tools. The benefits of Datawiza include: Added security to extend the life of mission-critical investments – Datawiza works in all cloud, IAM and network infrastructures No-code, so quick to deploy – no security expertise required, no new vulnerabilities are inadvertently introduced Fine-grained access controls across homegrown, open source and legacy applications, for all environments: on-prem, cloud, multi-cloud, and hybrid Easily integrated with cutting-edge cloud-native technologies, such as containerization and Kubernetes Protection for individual applications even if the network is breached About Datawiza Datawiza, the industry's leading cloud-native access proxy for securing applications and APIs, provides consolidated and continuous risk and trust assessment. Unlike other access management products (e.g., legacy web access managers) that are complex and siloed in hybrid environments, Datawiza offers large enterprises and SMBs a comprehensive, centralized and easy-to-deploy solution that allows every company to simplify access management, save time and increase security. Datawiza was founded in 2018 by security expert Dr. Canming Jiang, a veteran of Shape Security, now part of F5, and cloud expert Cunhao (Alex) Gao, a veteran of Google and Amazon.

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SOFTWARE,FUTURE TECH

Spice AI Raises $13.5 Million Seed Funding to Enable Web3 Developers to Build Data and AI-driven Applications

Spice AI | September 08, 2022

Spice AI today announced a seed round of $13.5 million for its platform that enables developers to build data driven applications for Web3. Madrona led the round with Australia based Blackbird Ventures, Basis Set Ventures, Alumni Ventures Blockchain Fund, Joe McCann’s new Asymmetric fund, Protocol Labs, IEX Fund, and other strategic angel investors participating, including Thomas Dohmke, CEO of GitHub, who is also joining the board. “Spice AI is building a developer first platform to create AI/ML-driven applications that harness time series data – a valuable yet difficult to harness data set for any organization. There is no ecosystem out there that is more data rich than Web3 and blockchains, but that area is currently hampered by lack of data access and infrastructure. Solving the data problem in Web3 requires deep domain knowledge and Spice AI is building the infrastructure, so developers do not have to deal with the complexity of building it themselves. Now is the time to build for Web3 and we are excited to be well capitalized to grow the team and address this gap in the market,” said Luke Kim, CEO of Spice AI. Web3 and Spice AI While most blockchains are public and open, extracting data from them to power apps and ML is painfully difficult. To get meaningful quantities of useful data, developers are forced to build and operate a massively complex infrastructure which includes blockchain nodes, big data systems, ETL and ML pipelines, data lakes, data warehouses, and query systems. Going one step further, developers must deeply understand the various data sources including virtual-machine logs, and the inner workings and state of smart contracts, across a broad array of blockchains, scaling layers, and dApps. Spice.xyz, brings this together in a platform that enables developers to access web3 data across chains via SQL over high-performance Apache Arrow APIs. The platform is available in Preview today with Bitcoin, Ethereum, and Ethereum Name Service (ENS) datasets with work in progress to launch Solana and Polygon. “Madrona has invested in machine learning infrastructure and intelligent applications for almost a decade. We see a massive opportunity for Spice AI to provide a developer-first framework and intelligent data sets that unlock insights in blockchain data and enable developers to create intelligent distributed Web3 applications. As part of the financing, Porter will join the Spice AI board along with Thomas Dohmke. Tim Porter, Managing Director at Madrona Deeply Developer Focused Founders Over the last 15 years, co-founder Luke Kim has brought together the best builders and engineers across the globe to create developer focused experiences through tools and technologies used by millions worldwide. Before founding Spice AI, Luke was the founding manager and co-creator of Azure Incubations at Microsoft where he led cross-functional engineering teams to create and develop technologies like Dapr. Co-founder Phillip LeBlanc has spent a decade building some of the largest distributed systems and big data platforms used by millions worldwide. Before co-founding Spice AI, Phillip was both an engineering manager and IC working on distributed systems at GitHub and Microsoft. Phillip has contributed to services developers use every day including GitHub Actions, Azure Active Directory and Visual Studio App Center. “Spice AI is building the foundational platform for Web3, so developers do not have to invest in standing up their own infrastructure and in data engineering that is complex and costly, and frankly, hard to get right. Delivering real time insights from time-series data across chains powers intelligent applications being built for a wide range of industries – from addressing buying patterns in e-tail/retail all the way to fraud detection and securities trading. Since our pre-seed investment, the team continues to impress us with the focus and pace of innovation as they build this infrastructure for Web3,” added Aseem Datar, Partner at Madrona. Spice AI is building an office in greater Seattle with a footprint in Asia and Australia. Check out the positions here - spice.ai/careers About Spice AI Founded in June 2021 by Luke Kim and Phillip LeBlanc, Spice AI creates technology to help developers build intelligent apps that learn and adapt. The company has raised 14.5 million in funding since 2021 and is backed by leading venture and angel investors.

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AI TECH,GENERAL AI,AI APPLICATIONS

Seeed Studio Joins NVIDIA Metropolis Help Accelerate Edge AI Across Industries

Seeed Studio | August 25, 2022

Seeed Studio, a provider of AIoT Hardware Service Platform, today announced it has joined NVIDIA Metropolis, a partner program focused on bringing to market a new generation of vision AI applications. NVIDIA Metropolis nurtures a rich ecosystem and offers powerful developer tools to supercharge vision AI applications that are designed to make the world's most important spaces and operations safer and more efficient. Seeed is a reseller of NVIDIA embedded systems and a member of the NVIDIA Jetson ecosystem for edge AI. The company offers NVIDIA Jetson module powered full system and carrier boards, integrating software into AI solutions spanning many industries. Offering a one-stop product experience, Seeed speeds time to market for customers by handling all licensing, integration, manufacturing, fulfillment, and distribution. Seeed offers the following products and service benefits to AI enterprises that are wishing to take the NVIDIA Jetson edge AI platform from pilot to production. If interested, please sign up using this form. 1 pc reComputer J1010 powered by Jetson Nano module; 1 pc J202 carrier board for Jetson Nano/Xavier NX; Free custom image-flashing services for 1 pcs reComputer. NVIDIA Metropolis makes it easier and more cost effective for enterprises, governments, and integration partners to use world-class AI-enabled solutions to improve critical operational efficiency and safety problems. The NVIDIA Metropolis ecosystem contains a large and growing breadth of members who are investing in the most advanced AI techniques and most efficient deployment platforms, and using an enterprise-class approach to their solutions. Members can gain early access to NVIDIA platform updates to further enhance and accelerate their AI application development efforts. Further, the program offers the opportunity for members to collaborate with industry-leading experts and other AI-driven organizations. "It's a great honor to join NVIDIA Metropolis. "We look forward very much to seeing more AIoT solutions scaling up to bring digital transformation to different business sectors." Eric Pan, Founder and CEO at Seeed About Seeed Studio Seeed Studio has been serving the global developer community since 2008, by providing open technology and agile manufacturing services, with the mission to make hardware more accessible and lower the threshold for hardware innovation. With Shenzhen's vast resources, and trusted technology and distribution partners around the world, Seeed strives to be the most integrated platform for creating hardware solutions for IoT and edge AI applications.

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